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Practical and configurable network traffic classification using probabilistic machine learning.

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Bibliographic Details
Title: Practical and configurable network traffic classification using probabilistic machine learning.
Authors: Chen, Jiahui1, jiahui.chen@utah.edu, Breen, Joe1, Phillips, Jeff M.1, Van der Merwe, Jacobus1
Source: Cluster Computing; Aug2022, Vol. 25 Issue 4, p2839-2853, 15p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157987814
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Practical and configurable network traffic classification using probabilistic machine learning.
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  Data: <searchLink fieldCode="JN" term="%22Cluster+Computing%22">Cluster Computing</searchLink>; Aug2022, Vol. 25 Issue 4, p2839-2853, 15p
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      – Type: doi
        Value: 10.1007/s10586-021-03393-2
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2839
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      – TitleFull: Practical and configurable network traffic classification using probabilistic machine learning.
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            NameFull: Breen, Joe
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            NameFull: Phillips, Jeff M.
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              Text: Aug2022
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              Y: 2022
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